DocumentCode :
2564821
Title :
Analysis for atrial fibrillation waves
Author :
Xie, Dan M. ; Yin, Yue H. ; Chen, Liang C. ; Xu, Xiao H. ; Liu, Zeng Z. ; Dong, Zhi ; Zhang, Neng ; Xia, D.M. ; Lu, Hong D.
Author_Institution :
Dept. of Biomed. Eng., Chongqing Univ. of Med. Sci., China
fYear :
1998
fDate :
29 Oct-1 Nov 1998
Firstpage :
115
Abstract :
The major atrial frequencies (MAFs) and their corresponding major atrial cycle lengths (MACLs) were evaluated by analysing spectra of atrial fibrillation waves (AFW) from a patient with atrial fibrillation (AF). The running variations of MAF were studied. The electrocardiosignal (ECS) was acquired at sampling rate 512 Hz, in 20 seconds. After ECS was smoothed and QRST complex subtracted, the remainder is the AFW signal. Then its windowed FFT with 1024 points was computed. The spectral distribution in whole band, major band ranged 3 to 13 Hz, and running spectra in whole band, 3 to 33 Hz band and >33 Hz band were given. MAFs and corresponding MACLs from 4 to 12 Hz, power values in whole band, major band ranged 4 to 12 Hz, ⩽20 Hz band, ⩽30 Hz band and ⩾4 Hz band were computed, respectively. The results showed that (1) the major power value of AFW were in lower than 20 Hz band (e.g. 99.5%). (2) there is a spectral distribution in the band ranged 4 to 12 Hz. The 1st, 2nd and 3rd peak frequencies taken by power order were named MAF1, MAF2 and MAF3, respectively. The MAF1 was called as the dominant atrial frequency (DFA), its corresponding atrial cycle length was called as the dominant atrial cycle length (DACL). The latter was related to the atrial functional refractory period (AFRP) strictly. (3) The complexity of the spectral distribution in 4 to 12 Hz band suggests the complexity of AFW in time domain. (4) The dynamic spectral analysis showed that the DAF is unstable over time. Any significant structure in >30 Hz band was not observed
Keywords :
electrocardiography; fast Fourier transforms; medical signal processing; spectral analysis; time-frequency analysis; QRST complex; atrial fibrillation waves; atrial refractory period; dynamic spectral analysis; electrocardiosignal; major atrial cycle lengths; major atrial frequencies; spectral distribution; surface ECG; windowed FFT; Atrial fibrillation; Biomedical engineering; Calcium; Cardiology; Educational institutions; Frequency; Medical treatment; Sampling methods; Spectral analysis; Time domain analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
ISSN :
1094-687X
Print_ISBN :
0-7803-5164-9
Type :
conf
DOI :
10.1109/IEMBS.1998.745843
Filename :
745843
Link To Document :
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